Tripartite Bell inequality, random matrices and trilinear forms (1203.2509v1)
Abstract: In this seminar report, we present in detail the proof of a recent result due to J. Bri\"et and T. Vidick, improving an estimate in a 2008 paper by D. P\'erez-Garc\'{\i}a, M. Wolf, C. Palazuelos, I. Villanueva, and M. Junge, estimating the growth of the deviation in the tripartite Bell inequality. The proof requires a delicate estimate of the norms of certain trilinear (or $d$-linear) forms on Hilbert space with coefficients in the second Gaussian Wiener chaos. Let $En_{\vee}$ (resp. $En_{\min}$) denote $ \ell_1n \otimes \ell_1n\otimes \ell_1n$ equipped with the injective (resp. minimal) tensor norm. Here $ \ell_1n$ is equipped with its maximal operator space structure. The Bri\"et-Vidick method yields that the identity map $I_n$ satisfies (for some $c>0$) $|I_n:\ En_{\vee}\to En_{\min}|\ge c n{1/4} (\log n){-3/2}.$ Let $Sn_2$ denote the (Hilbert) space of $n\times n$-matrices equipped with the Hilbert-Schmidt norm. While a lower bound closer to $n{1/2} $ is still open, their method produces an interesting, asymptotically almost sharp, related estimate for the map $J_n:\ Sn_2\stackrel{\vee}{\otimes} Sn_2\stackrel{\vee}{\otimes}Sn_2 \to \ell_2{n3} \stackrel{\vee}{\otimes} \ell_2{n3} $ taking $e_{i,j}\otimes e_{k,l}\otimes e_{m,n}$ to $e_{[i,k,m],[j,l,n]}$.